Haoxuan Jiang — accepted AI-conference papers

2026

Semantic-LiDAR-Inertial-Wheel Odometry Fusion for Robust Localization in Large-Scale Dynamic Environments

Haoxuan Jiang, Peicong Qian, Yusen Xie, Linwei Zheng, Xiaocong Li, Ming Liu +1

ICRA 2026poster

Reliable, drift-free global localization presents significant challenges yet remains crucial for autonomous navigation in large-scale dynamic environments. In this paper, we introduce a tightly-coupled Semantic-LiDAR-Inertial-Wheel Odometry fusion framework, which is specifically designed to provide…

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2025

DuLoc: Life-Long Dual-Layer Localization in Changing and Dynamic Expansive Scenarios

Haoxuan Jiang, Peicong Qian, Yusen Xie, Xiaocong Li, Ming Liu, Jun Ma

IROS 2025

LiDAR-based localization serves as a critical component in autonomous systems, yet existing approaches face persistent challenges in balancing repeatability, accuracy, and environmental adaptability. Traditional point cloud registration methods relying solely on offline maps often exhibit limited ro

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